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Document max_iters of ReAct #8895

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9 changes: 8 additions & 1 deletion docs/docs/learn/programming/tools.md
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Expand Up @@ -58,10 +58,17 @@ print("Tool calls made:", result.trajectory)
react_agent = dspy.ReAct(
signature="question -> answer", # Input/output specification
tools=[tool1, tool2, tool3], # List of available tools
max_iters=10 # Maximum number of tool call iterations
max_iters=5 # Maximum number of reasoning-acting iterations (default: 10)
)
```

**`max_iters`**: Controls the maximum number of reasoning and acting cycles the agent can perform. In each iteration, the model:
1. Reasons about the current state and what to do next
2. Decides whether to call a tool or provide a final answer
3. If calling a tool, executes it and observes the result

The agent stops when it either reaches `max_iters` or decides it has enough information to answer. Higher values allow more tool calls but increase latency and cost.

## Approach 2: Manual Tool Handling

For more control over the tool calling process, you can manually handle tools using DSPy's tool types.
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